Abstract
In this chapter we outline current research into face
ageing and explore both computational methods and
perceived results. We describe methods to digitally
alter an image of a human face of known age, such
that the image becomes an estimation of the same
person apparently aged by a set amount. This has
many useful applications, from locating missing persons
to improving identification systems to take ageing
into account. It is also of interest to the cosmetics
industry, to simulate and evaluate the effects of antiageing
treatments, as well as the entertainments industry,
for example to age an actor.
ageing and explore both computational methods and
perceived results. We describe methods to digitally
alter an image of a human face of known age, such
that the image becomes an estimation of the same
person apparently aged by a set amount. This has
many useful applications, from locating missing persons
to improving identification systems to take ageing
into account. It is also of interest to the cosmetics
industry, to simulate and evaluate the effects of antiageing
treatments, as well as the entertainments industry,
for example to age an actor.
| Original language | English |
|---|---|
| Title of host publication | Craniofacial Identification |
| Editors | Caroline Wilkinson, Chris Rynn |
| Publisher | Cambridge University Press |
| Pages | 57-67 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781139334778 |
| ISBN (Print) | 978-0-521-76862-7 |
| DOIs | |
| Publication status | Accepted/In press - Jun 2012 |